A Improved Method of Enhancement of Video Image in the Coal Mine

Article Preview

Abstract:

Insufficient space and poor light down the coal mine resulted in many problems to the image on the monitor screen. In view of the problem of low resolution, unclear gradation, roughness and easy to interfere in the transmission process in bad communication environment, According to the characteristics of the image, researched to use the method of combining the algorithm of improving the traditional filter with the enhancement of contrast ratio to improve image. The experimental results indicate the method can make the underground video image quality improved and is a feasible method.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

1898-1902

Citation:

Online since:

March 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Wenfeng Li, Liang Shang, Baiping Li. Method of Improve the Resolution of Underground Video Images. Safety in Coal Mines,2008, 39(5): 71~73.

Google Scholar

[2] Rafael C. Gonzalez, Richard E. Woods. Digital Image Processing. Publishing House of Electronics Industry, (2003).

Google Scholar

[3] Bo Liu, Zhengping Hu, Chengru Wang. Based on the Fuzzy Relaxation Iteration Stratified Image Enhancement Algorithm. Optical Technology, 2009, 35(01): 131~137.

Google Scholar

[4] Jiping Sun, Wei Chen, Liang Tang, Xiaoyang Liu, Haitao Lin. Limited Space Low Resolution of Low Illumination Image Face Detection. Journal of China University of Mining and Technology, 2008, 37(03): 373~378.

Google Scholar

[5] Qin J H, El-Sakka M R. A new wavelet-based method for contrast/edge enhancement . Proc. of IEEE Int. Conf. on I mage Processing. Barcelona, Spain: IEEE, 2003, 3(02) : 397-400.

Google Scholar

[6] Byung Cheol Song, Kong Wook Chun. Motion compensated temporal prefiltering for noise reduction in a video encoder . Image Processing, IEEE, 2004, 10(02): 1221~1224.

DOI: 10.1109/icip.2004.1419525

Google Scholar

[7] Chang D C, Wu W R. Image Contrast Enhancement Based on a Histogram Transformation of Local Standard Deviation . IEEE Trans. Medical Imaging, 1998, 17(04) : 518~531.

DOI: 10.1109/42.730397

Google Scholar

[8] Zhang Yu  , Wang Xiqin  , Peng Yingning . New image enhancement algorithm for night vision. Image Processing, 1999, 1(01): 201~203.

DOI: 10.1109/icip.1999.821597

Google Scholar

[9] Tai Wai Chan, Oscar C A, Tak Song Chong, et al. A Novel Content Adaptive Video Denoising Filter . IEEE, 2005, 3(02): 649~652.

DOI: 10.1109/icassp.2005.1415488

Google Scholar

[10] Mir A.H. Fuzzy entropy based interactive enhancement of radio-graphic images. Journal of Medical Engineering and Technology, 2007, 31 (03) : 220~231.

DOI: 10.1080/03091900600824374

Google Scholar